Pandas to_html() truncates string contents
What you are seeing is pandas truncating the output for display purposes only.
The default max_colwidth
value is 50 which is what you are seeing.
You can set this value to whatever you desire or you can set it to -1 which effectively turns this off:
pd.set_option('display.max_colwidth', -1)
Although I would advise against this, it would be better to set it to something that can be displayed easily in your console or ipython.
A list of the options can be found here: http://pandas.pydata.org/pandas-docs/stable/options.html
Is there a way around very long strings of parsed bytes in Python? / to_html
I am unable to reproduce your error. Perhaps it is machine/version specific. The html is rendered fine in my mac.
(based on this):
What you are seeing is pandas truncating the output for display purposes only.
Solution:
with pd.option_context('display.max_colwidth', -1):
popcorn.to_html('popcorn.html', escape=False)
How can I display full (non-truncated) dataframe information in HTML when converting from Pandas dataframe to HTML?
Set the display.max_colwidth
option to None
(or -1
before version 1.0):
pd.set_option('display.max_colwidth', None)
set_option
documentation
For example, in IPython, we see that the information is truncated to 50 characters. Anything in excess is ellipsized:
If you set the display.max_colwidth
option, the information will be displayed fully:
Writing full contents of Pandas dataframe to HTML table
So there is probably a pandas-specific explanation, but you could also work around the problem by (a) replacing the links with a key value, (b) writing the html table string, and then (c) replacing the keys with the appropriate links.
For example, replace each link with a key, storing the keys in a dict:
map = {}
for i in df.index:
counter = 0
if df.ix[i]['Links'] in map:
df.ix[i, 'Links'] = map[df.ix[i]['Links']]
else:
map[df.ix[i, 'Links']] = 'href' + str(counter)
counter += 1
df.ix[i, 'Links'] = map[df.ix[i]['Links']]
Write the table:
table_1 = df.to_html(classes='table',index=False,escape=False)
Re-write the links:
for key, value in map.iteritems():
table_1 = table_1.replace(value, key)
How to stop my pandas data table from being truncated when printed?
You can set options on how to display your dataframes:
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 150)
If you add this before you print anything, your dataframe will be printed in the format you'd expect
to_html replacing , in daraframes with weird characters while converting it to html
You can set escape argument in df.to_html
to False
, to prevent special characters escaping:
df.to_html(index_names=False, escape=False)
It is set to True
by default and it convert the characters <, >, and & to HTML-safe sequences.
Pandas to_html does not show the appended data
Because pandas DataFrame.append
not working inplace is necessary assign output back:
df_test = df_test.append({'TEST1':11, 'TEST2':22}, ignore_index=True)
df_test = df_test.append({'TEST1':33, 'TEST2':44}, ignore_index=True)
Displaying full content of DataFrame cell without ellipsis truncating the text
You can use options.display.max_colwidth
to specify you want to see more in the default representation:
In [2]: df
Out[2]:
one
0 one
1 two
2 This is very long string very long string very...
In [3]: pd.options.display.max_colwidth
Out[3]: 50
In [4]: pd.options.display.max_colwidth = 100
In [5]: df
Out[5]:
one
0 one
1 two
2 This is very long string very long string very long string veryvery long string
reference - Print very long string completely in pandas dataframe
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